ujenzi stack

data.json

@@ -603,6 +603,11 @@
       "category": "UjenziLink",
       "question": "How does UjenziLink solve common construction problems?",
       "answer": "It addresses the struggle of tracking progress and spending by providing a single source of truth. It also offers professionals a way to build trusted portfolios and gives communities access to real project data and insights."
+    },
+    {
+      "category": "UjenziLink",
+      "question": "What is the technical stack used to build UjenziLink?",
+      "answer": "UjenziLink is built using a modern and futuristic tech stack. The backend is powered by Spring Boot 4.0 and Java 25, providing a robust and high-performance foundation. The frontend is developed with Angular 21 for a dynamic and responsive user experience. For data management, it utilizes PostgreSQL 18.3, ensuring reliable and scalable storage for construction project data."
     }
   ],
   "chunks": [
@@ -749,6 +754,9 @@
     },
     {
       "chunk": "UjenziLink Community: Explore public projects for design inspiration and technical insights. Access shared lessons and real construction data from local builds to understand building requirements."
+    },
+    {
+      "chunk": "UjenziLink Technical Stack: Backend powered by Spring Boot 4.0 and Java 25. Frontend developed with Angular 21. Database management using PostgreSQL 18.3. This combination ensures a high-performance, scalable, and modern construction project management platform."
     }
   ]
 }

optimized_quiz.py

@@ -70,4 +70,8 @@ OPTIMIZED_QUESTIONS = [
     "Can you explain how the RAG pipeline works in MusAI?",
     "How is data stored and managed in the MusAI project?",
     "Where is MusAI deployed and how is it containerized?",
+    "What is the technical stack used to build UjenziLink?",
+    "Which version of Spring Boot and Java does UjenziLink use?",
+    "What frontend framework and version is UjenziLink built with?",
+    "Which database and version powers UjenziLink?",
 ]